A Three-Way Model for Collective Learning on Multi-Relational Data
A Three-Way Model for Collective Learning on Multi-Relational Data
Maximilian Nickel,Volker Tresp,H. Kriegel
2011 · DBLP: conf/icml/NickelTK11
International Conference on Machine Learning · 2,458 Citations
TLDR
This work presents a novel approach to relational learning based on the factorization of a three-way tensor that is able to perform collective learning via the latent components of the model and provide an efficient algorithm to compute the factorizations.